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Singularity.feature_extraction
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Singularity.feature_extraction
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# Generated by: Neurodocker version 0.7.0+0.gdc97516.dirty
# Latest release: Neurodocker version 0.7.0
# Timestamp: 2021/03/05 17:57:32 UTC
#
# Thank you for using Neurodocker. If you discover any issues
# or ways to improve this software, please submit an issue or
# pull request on our GitHub repository:
#
# https://github.com/ReproNim/neurodocker
Bootstrap: docker
From: centos:7
%post
su - root
export ND_ENTRYPOINT="/neurodocker/startup.sh"
yum install -y -q \
bzip2 \
ca-certificates \
curl \
localedef \
unzip
yum clean packages
rm -rf /var/cache/yum/*
localedef -i en_US -f UTF-8 en_US.UTF-8
chmod 777 /opt && chmod a+s /opt
mkdir -p /neurodocker
if [ ! -f "$ND_ENTRYPOINT" ]; then
echo '#!/usr/bin/env bash' >> "$ND_ENTRYPOINT"
echo 'set -e' >> "$ND_ENTRYPOINT"
echo 'export USER="${USER:=`whoami`}"' >> "$ND_ENTRYPOINT"
echo 'if [ -n "$1" ]; then "$@"; else /usr/bin/env bash; fi' >> "$ND_ENTRYPOINT";
fi
chmod -R 777 /neurodocker && chmod a+s /neurodocker
export PATH="/opt/miniconda-latest/bin:$PATH"
echo "Downloading Miniconda installer ..."
conda_installer="/tmp/miniconda.sh"
curl -fsSL --retry 5 -o "$conda_installer" https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh
bash "$conda_installer" -b -p /opt/miniconda-latest
rm -f "$conda_installer"
conda update -yq -nbase conda
conda config --system --prepend channels conda-forge
conda config --system --set auto_update_conda false
conda config --system --set show_channel_urls true
sync && conda clean -y --all && sync
conda install -y -q --name base \
"emacs" \
"librosa" \
"matplotlib" \
"scikit-learn" \
"seaborn" \
"pysoundfile" \
"tensorflow" \
"tensorflow-hub" \
"tensorflow-estimator<2.4.0,>=2.3.0" \
"datalad" \
"datalad-container" \
"jupyterlab" \
"pillow" \
"pandas"
sync && conda clean -y --all && sync
bash -c "source activate base
pip install --no-cache-dir \
"pliers""
rm -rf ~/.cache/pip/*
sync
su - root
echo '{
\n "pkg_manager": "yum",
\n "instructions": [
\n [
\n "base",
\n "centos:7"
\n ],
\n [
\n "user",
\n "root"
\n ],
\n [
\n "_header",
\n {
\n "version": "generic",
\n "method": "custom"
\n }
\n ],
\n [
\n "miniconda",
\n {
\n "use_env": "base",
\n "conda_install": [
\n "emacs",
\n "librosa",
\n "matplotlib",
\n "scikit-learn",
\n "seaborn",
\n "pysoundfile",
\n "tensorflow",
\n "tensorflow-hub",
\n "tensorflow-estimator<2.4.0,>=2.3.0",
\n "datalad",
\n "datalad-container",
\n "jupyterlab",
\n "pillow",
\n "pandas"
\n ],
\n "pip_install": [
\n "pliers"
\n ]
\n }
\n ],
\n [
\n "user",
\n "root"
\n ]
\n ]
\n}' > /neurodocker/neurodocker_specs.json
%environment
export LANG="en_US.UTF-8"
export LC_ALL="en_US.UTF-8"
export ND_ENTRYPOINT="/neurodocker/startup.sh"
export CONDA_DIR="/opt/miniconda-latest"
export PATH="/opt/miniconda-latest/bin:$PATH"
%runscript
/neurodocker/startup.sh "$@"